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The question whether a structure or a machine component can carry the applied loads, and with which margin of safety, or whether it will become unserviceable due to collapse or excessive inelastic deformations, has always been a major concern for civil and mechanical engineers. The development of methods to answer this technologically crucial question without analysing the evolution of the system under varying loads, has a long tradition that can be traced back even to the times of emerging mechanical sciences in the early 17th century. However, the scientific foundations of the theories underlying these methods, nowadays frequently called "direct", were established sporadically in the Thirties of the 20th century and systematically and rigorously in the Fifties. Further motivations for the development of direct analysis techniques in applied mechanics of solids and structures arise from the circumstance that in many engineering situations the external actions fluctuate according to time histories not a priori known except for some essential features, e.g. variation intervals. In such situations the critical events (or "limit states") to consider, besides plastic collapse, are incremental collapse (or "ratchetting") and alternating plastic yielding, namely lack of "shakedown". Non evolutionary, direct methods for ultimate limit state analysis of structures subjected to variably-repeated external actions are the objectives of most papers collected in this book, which also contains a few contributions on related topics.

Civil engineering. --- Mechanics. --- Quality control. --- Reliability. --- Industrial safety. --- Civil Engineering. --- Classical Mechanics. --- Quality Control, Reliability, Safety and Risk. --- Industrial accidents --- Industries --- Job safety --- Occupational hazards, Prevention of --- Occupational health and safety --- Occupational safety and health --- Prevention of industrial accidents --- Prevention of occupational hazards --- Safety, Industrial --- Safety engineering --- Safety measures --- Safety of workers --- Accidents --- System safety --- Dependability --- Trustworthiness --- Conduct of life --- Factory management --- Industrial engineering --- Reliability (Engineering) --- Sampling (Statistics) --- Standardization --- Quality assurance --- Quality of products --- Classical mechanics --- Newtonian mechanics --- Physics --- Dynamics --- Quantum theory --- Engineering --- Public works --- Prevention

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In the present contemporary climate of global competition in every branch of engineering and manufacture it has been shown from extensive customer surveys that above every other attribute, reliability stands as the most desired feature in a finished product. To survive this relentless fight for survival any organisation, which neglect the plea of attaining to excellence in reliability, will do so at a serious cost Reliability in Automotive and Mechanical Engineering draws together a wide spectrum of diverse and relevant applications and analyses on reliability engineering. This is distilled into this attractive and well documented volume and practising engineers are challenged with the formidable task of simultaneously improving reliability and reducing the costs and down-time due to maintenance. The volume brings together eleven chapters to highlight the importance of the interrelated reliability and maintenance disciplines. They represent the development trends and progress resulting in making this book essential basic material for all research academics, planners maintenance executives, who have the responsibility to implement the findings and maintenance audits into a cohesive reliability policy. Although, the book is centred on automotive engineering nevertheless, the examples and overall treatise can be applied to a wide range of professional practices. The book will be a valuable source of information for those concerned with improved manufacturing performance and the formidable task of optimising reliability.

Reliability (Engineering) --- Mechanical engineering. --- Automobiles --- Fiabilité --- Génie mécanique --- Design and construction. --- Conception et construction --- Reliability (Engineering). --- Mechanical engineering --- Mechanical Engineering --- Engineering & Applied Sciences --- Mechanical Engineering - General --- Industrial & Management Engineering --- Design and construction --- Automobile engineering --- Automotive engineering --- Engineering, Mechanical --- Reliability of equipment --- Systems reliability --- Construction --- Engineering. --- Automotive engineering. --- Industrial engineering. --- Production engineering. --- Quality control. --- Reliability. --- Industrial safety. --- Quality Control, Reliability, Safety and Risk. --- Mechanical Engineering. --- Industrial and Production Engineering. --- Automotive Engineering. --- Engineering --- Machinery --- Steam engineering --- Maintainability (Engineering) --- Probabilities --- Systems engineering --- Plant performance --- Safety factor in engineering --- Structural failures --- System safety. --- Industrial arts --- Technology --- Management engineering --- Simplification in industry --- Value analysis (Cost control) --- Safety, System --- Safety of systems --- Systems safety --- Accidents --- Industrial safety --- Prevention --- Manufacturing engineering --- Process engineering --- Industrial engineering --- Industrial accidents --- Industries --- Job safety --- Occupational hazards, Prevention of --- Occupational health and safety --- Occupational safety and health --- Prevention of industrial accidents --- Prevention of occupational hazards --- Safety, Industrial --- Safety engineering --- Safety measures --- Safety of workers --- System safety --- Dependability --- Trustworthiness --- Conduct of life --- Factory management --- Sampling (Statistics) --- Standardization --- Quality assurance --- Quality of products

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Bayesian Reliability presents modern methods and techniques for analyzing reliability data from a Bayesian perspective. The adoption and application of Bayesian methods in virtually all branches of science and engineering have significantly increased over the past few decades. This increase is largely due to advances in simulation-based computational tools for implementing Bayesian methods. The authors extensively use such tools throughout this book, focusing on assessing the reliability of components and systems with particular attention to hierarchical models and models incorporating explanatory variables. Such models include failure time regression models, accelerated testing models, and degradation models. The authors pay special attention to Bayesian goodness-of-fit testing, model validation, reliability test design, and assurance test planning. Throughout the book, the authors use Markov chain Monte Carlo (MCMC) algorithms for implementing Bayesian analyses--algorithms that make the Bayesian approach to reliability computationally feasible and conceptually straightforward. This book is primarily a reference collection of modern Bayesian methods in reliability for use by reliability practitioners. There are more than 70 illustrative examples, most of which utilize real-world data. This book can also be used as a textbook for a course in reliability and contains more than 160 exercises. Noteworthy highlights of the book include Bayesian approaches for the following: Goodness-of-fit and model selection methods Hierarchical models for reliability estimation Fault tree analysis methodology that supports data acquisition at all levels in the tree Bayesian networks in reliability analysis Analysis of failure count and failure time data collected from repairable systems, and the assessment of various related performance criteria < Analysis of nondestructive and destructive degradation data Optimal design of reliability experiments Hierarchical reliability assurance testing Dr. Michael S. Hamada is a Technical Staff Member in the Statistical Sciences Group at Los Alamos National Laboratory and is a Fellow of the American Statistical Association. Dr. Alyson G. Wilson is a Technical Staff Member in the Statistical Sciences Group at Los Alamos National Laboratory. Dr. C. Shane Reese is an Associate Professor in the Department of Statistics at Brigham Young University. Dr. Harry F. Martz is retired from the Statistical Sciences Group at Los Alamos National Laboratory and is a Fellow of the American Statistical Association.

Production management --- statistische kwaliteitscontrole --- Statistical physics --- Statistical science --- Engineering sciences. Technology --- statistisch onderzoek --- kwaliteitscontrole --- industriële statistieken --- Bayesian statistical decision theory. --- Reliability (Engineering) --- Statistique bayésienne --- Fiabilité --- Statistical methods. --- Méthodes statistiques --- EPUB-LIV-FT LIVMATHE LIVSTATI SPRINGER-B --- Distribution (Probability theory. --- Statistics. --- System safety. --- Mathematical statistics. --- Probability Theory and Stochastic Processes. --- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Quality Control, Reliability, Safety and Risk. --- Statistical Theory and Methods. --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Safety, System --- Safety of systems --- Systems safety --- Accidents --- Industrial safety --- Systems engineering --- Statistical analysis --- Statistical data --- Statistical methods --- Econometrics --- Distribution functions --- Frequency distribution --- Characteristic functions --- Prevention --- Bayesian statistical decision theory --- 303.6 --- AA / International- internationaal --- Mathematical statistics --- Bayes' solution --- Bayesian analysis --- Statistical decision --- Raming : theorie (wiskundige statistiek). Bayesian analysis and inference --- Probabilities. --- Statistics . --- Quality control. --- Reliability. --- Industrial safety. --- Industrial accidents --- Industries --- Job safety --- Occupational hazards, Prevention of --- Occupational health and safety --- Occupational safety and health --- Prevention of industrial accidents --- Prevention of occupational hazards --- Safety, Industrial --- Safety engineering --- Safety measures --- Safety of workers --- System safety --- Dependability --- Trustworthiness --- Conduct of life --- Factory management --- Industrial engineering --- Standardization --- Quality assurance --- Quality of products --- Probability --- Combinations --- Chance --- Least squares --- Risk

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Acoustic Emission (AE) techniques have been studied in civil engineering for a long time. The techniques are recently going to be more and more applied to practical applications and to be standardized in the codes. This is because the increase of aging structures and disastrous damages due to recent earthquakes urgently demand for maintenance and retrofit of civil structures in service for example. It results in the need for the development of advanced and effective inspection techniques. Thus, AE techniques draw a great attention to diagnostic applications and in material testing. The book covers all levels from the description of AE basics for AE beginners (level of a student) to sophisticated AE algorithms and applications to real large-scale structures as well as the observation of the cracking process in laboratory specimen to study fracture processes.

Production management --- onderhoud --- herstellingen --- Structural parts and elements of building --- mechanica --- Engineering sciences. Technology --- fysica --- Materials sciences --- kwaliteitscontrole --- toegepaste wetenschappen --- akoestiek --- Physics --- materialen (technologie) --- Acoustic emission testing --- Contrôle par émission acoustique --- EPUB-LIV-FT LIVINGEN SPRINGER-B --- Engineering. --- Materials. --- System safety. --- Mechanics. --- Mechanics, Applied. --- Acoustics. --- Building construction. --- Engineering, general. --- Structural Materials. --- Quality Control, Reliability, Safety and Risk. --- Solid Mechanics. --- Building Repair and Maintenance. --- Applied mechanics --- Engineering, Mechanical --- Engineering mathematics --- Classical mechanics --- Newtonian mechanics --- Dynamics --- Quantum theory --- Safety, System --- Safety of systems --- Systems safety --- Accidents --- Industrial safety --- Systems engineering --- Engineering --- Engineering materials --- Industrial materials --- Engineering design --- Manufacturing processes --- Construction --- Industrial arts --- Technology --- Prevention --- Materials --- Structural materials. --- Quality control. --- Reliability. --- Industrial safety. --- Building repair. --- Buildings—Repair and reconstruction. --- Building reconstruction --- Building renovation --- Building repair --- Buildings --- Reconstruction of buildings --- Remodeling of buildings --- Renovation of buildings --- Maintenance --- Repairing --- Architecture --- Industrial accidents --- Industries --- Job safety --- Occupational hazards, Prevention of --- Occupational health and safety --- Occupational safety and health --- Prevention of industrial accidents --- Prevention of occupational hazards --- Safety, Industrial --- Safety engineering --- Safety measures --- Safety of workers --- System safety --- Dependability --- Trustworthiness --- Conduct of life --- Factory management --- Industrial engineering --- Reliability (Engineering) --- Sampling (Statistics) --- Standardization --- Quality assurance --- Quality of products --- Architectural materials --- Building --- Building supplies --- Construction materials --- Structural materials --- Reconstruction --- Remodeling --- Renovation --- Protection --- Conservation and restoration

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This updated edition retains its introduction to applied fundamental statistics, probability, reliability, and decision theory as these pertain to problems in Civil Engineering. The new edition adds an expanded treatment of systems reliability, Bayesian methods, and spatial variabililty, along with additional example problems throughout. The book provides readers with the tools needed to determine the probability of failure, and when multiplied by the consequences of failure, illustrates how to assess the risk of civil engineering problems. Presenting methods for quantifying uncertainty that exists in engineering analysis and design, with an emphasis on fostering more accurate analysis and design, the text is ideal for students and practitioners of a range of civil engineering disciplines. Expands on the class-tested pedagogy from the first edition with more material and more examples; Broadens understanding with simulations coded both in Matlab and in R; Features new chapters on spatial variability and Bayesian methods; Emphasizes techniques for estimating the influence of uncertainty on the probability of failure.

Mathematics --- Hygiene. Public health. Protection --- Applied physical engineering --- Plant and equipment --- Production management --- Building design --- Building materials. Building technology --- Civil engineering. Building industry --- Architecture --- betrouwbaarheid --- toegepaste wiskunde --- veiligheid (bouw) --- economie --- bouwkunde --- brandpreventie --- architectuur --- wiskunde --- kwaliteitscontrole --- ingenieurswetenschappen --- bouw --- Quality control. --- Reliability. --- Industrial safety. --- Fire prevention. --- Buildings—Design and construction. --- Building. --- Construction. --- Engineering, Architectural. --- Applied mathematics. --- Engineering mathematics. --- Quality Control, Reliability, Safety and Risk. --- Fire Science, Hazard Control, Building Safety. --- Building Construction and Design. --- Mathematical and Computational Engineering. --- Industrial accidents --- Industries --- Job safety --- Occupational hazards, Prevention of --- Occupational health and safety --- Occupational safety and health --- Prevention of industrial accidents --- Prevention of occupational hazards --- Safety, Industrial --- Safety engineering --- Safety measures --- Safety of workers --- Accidents --- System safety --- Dependability --- Trustworthiness --- Conduct of life --- Factory management --- Industrial engineering --- Reliability (Engineering) --- Sampling (Statistics) --- Standardization --- Quality assurance --- Quality of products --- Engineering --- Engineering analysis --- Mathematical analysis --- Architectural engineering --- Buildings --- Construction --- Construction science --- Engineering, Architectural --- Structural design --- Structural engineering --- Construction industry --- Fire safety --- Fires --- Prevention of fires --- Fire protection engineering --- Public safety --- Insurance engineering --- Prevention --- Design and construction --- Fires and fire prevention